Concept Reply, part of the Reply Network, is a leader in IoT solutions. We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond in all aspects of Internet of Things (IoT) and Cloud Computing. From designing and developing customized IoT solutions to implementing and managing them seamlessly, Concept Reply helps customers unlock the potential of IoT.
We are seeking a Computer Science or Computer Engineering graduate for an internship contributing to AI-driven and data engineering solutions, working alongside our data and AI engineering team on real client-facing deliverables.
Responsibilities
Support the development and evaluation of ML/AI models, including forecasting and predictive models on time-series data
Assist in experimentation with LLMs, including fine-tuning and deployment of models for applied use cases
Contribute to backend services, APIs, and data pipelines supporting AI/data solutions
Help build internal tools and dashboards for data visualization and stakeholder reporting
Collaborate with senior engineers on assigned technical workstreams, with growing autonomy over the internship
Minimum Requirements
Bachelor's degree (completed) in Computer Science, Computer Engineering, or a related field — not currently enrolled in university
Strong foundation in data structures, algorithms, and programming fundamentals
Proficiency in Python
Coursework or project experience in machine learning / data science
Preferred Qualifications
Experience with ML/DL frameworks (PyTorch, TensorFlow, scikit-learn)
Experience with LLM fine-tuning (e.g. PEFT, LoRA) or other applied ML techniques (time-series models, forecasting)
Prior internship, research, or open-source project experience in AI/ML
Strong communication skills; additional languages a plus
